AMD Radeon Instinct MI300X vs Intel Arc A310E Comparison

Where Each One Wins

The AMD Radeon Instinct MI300X and Intel Arc A310E occupy opposite ends of the GPU spectrum, and the recorded data shows a clear division of labor. The MI300X is an accelerator designed for massive parallel compute, while the A310E is a compact, low-power graphics card for embedded and basic display workloads. The benchmark wins, though sparse in the database, align with this split: the MI300X dominates in raw compute throughput, memory capacity, and bandwidth, whereas the A310E holds advantages in pixel fill rate, power draw, and physical dimensions.

The MI300X delivers 81.72 TFLOPS of FP32 compute, a figure that dwarfs the A310E’s 3.072 TFLOPS by a factor of roughly 26.6. In FP16, the gap widens further: the MI300X reaches 653.7 TFLOPS (8:1 ratio), while the A310E manages 6.144 TFLOPS (2:1 ratio). For any workload that relies on dense matrix math, neural network inference, or scientific simulation, the MI300X is the only viable choice between these two. Its 192 GB of HBM3 memory with 10.3 TB/s bandwidth sits in an entirely different class from the A310E’s 4 GB GDDR6 with 124.0 GB/s. The MI300X also uses a PCIe 5.0 x16 interface, compared to the A310E’s PCIe 4.0 x8, giving it twice the lane count and a newer generation for host data transfer.

The A310E, however, wins on efficiency and practicality. Its 75 W TDP versus the MI300X’s 750 W represents a 10x difference in power consumption. The suggested PSU is 250 W for the A310E and 1150 W for the MI300X. The A310E fits in a single slot, measures 168 mm by 69 mm by 20 mm, and outputs video through four mini-DisplayPort 2.0 connectors. The MI300X is an OAM Module with no display outputs at all. For embedded systems, digital signage, or basic GPU acceleration in a constrained chassis, the A310E is the functional choice. The MI300X cannot even drive a monitor.

Architecture Differences

The two GPUs come from different architectural lineages. The MI300X uses AMD’s CDNA 3.0 architecture on the Aqua Vanjaram chip, built on a 5 nm TSMC process. The A310E uses Intel’s Xe-HPG architecture on the DG2-128 chip, fabricated on a 6 nm TSMC process. The process node difference is modest, but the chip scale is not. The MI300X packs 153,000 million transistors on a 1017 mm² die, yielding a transistor density of 150.4 million per mm². The A310E has 7,200 million transistors on a 157 mm² die, for a density of 45.9 million per mm². The MI300X is roughly 6.5x larger in die area and carries over 21x more transistors.

Core counts follow the same trajectory. The MI300X has 19,456 shading units and 1,216 texture mapping units. The A310E has 768 shading units and 32 TMUs. The MI300X reports 0 ROPs and a pixel rate of 0 MPixel/s, consistent with its compute-focused design that lacks a traditional rasterization pipeline. The A310E has 16 ROPs and a pixel rate of 32.00 GPixel/s, confirming its role as a display-capable graphics card. The texture rate tells the same story: 2,553.6 GTexel/s for the MI300X versus 64.00 GTexel/s for the A310E.

Memory architecture diverges sharply. The MI300X uses HBM3 on an 8192-bit bus, while the A310E uses GDDR6 on a 64-bit bus. The MI300X’s memory clock is listed as 2525 MHz with 10.1 Gbps effective, and the A310E runs at 1937 MHz with 15.5 Gbps effective. Despite the A310E’s higher effective data rate per pin, the MI300X’s enormous bus width yields 10.3 TB/s of bandwidth against the A310E’s 124.0 GB/s, an 83x difference. Clock speeds are comparable on paper: the MI300X has a 1000 MHz base and 2100 MHz boost, while the A310E runs flat at 2000 MHz base and boost. The A310E includes 6 ray tracing cores, whereas the MI300X lists none. The A310E also supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, while the MI300X has no listed API support, reflecting its non-graphics orientation.

Head-to-Head Benchmarks

The database contains no direct head-to-head benchmark entries for these two products, and neither GPU has recorded benchmark scores or nearest rivals. The wins count stands at 0 for both. This absence of measured results is itself informative: the two cards are not competing for the same workloads, so a direct comparison yields no meaningful score differentials. The analysis must instead rely on the specification data to project performance deltas.

In FP32 compute, the MI300X delivers 81.72 TFLOPS against the A310E’s 3.072 TFLOPS. That is a 26.6x advantage for the MI300X. In FP16, the MI300X produces 653.7 TFLOPS versus 6.144 TFLOPS, a 106.4x advantage. The texture rate shows a 39.9x gap (2,553.6 GTexel/s versus 64.00 GTexel/s). Memory bandwidth is the largest single delta: 10.3 TB/s versus 124.0 GB/s, an 83.1x difference. Memory capacity is 192 GB versus 4 GB, a 48x difference. The MI300X’s bus width of 8192 bit versus 64 bit is a 128x difference.

The A310E wins on pixel rate, where it posts 32.00 GPixel/s while the MI300X records 0 MPixel/s. The A310E also wins on power efficiency per unit of compute work: it draws 75 W to produce 3.072 TFLOPS, while the MI300X draws 750 W to produce 81.72 TFLOPS. The MI300X produces more compute per watt (0.109 TFLOPS/W versus 0.041 TFLOPS/W), but the A310E uses far less total power. The A310E also has a smaller physical footprint at 168 mm length, 69 mm height, and 20 mm width, all of which are absent for the MI300X, which is an OAM Module with no listed dimensions.

The release dates differ by about four months. The MI300X launched on 2023-12-05, while the A310E launched on 2024-03-31. The production status for the A310E is listed as end-of-life, with its successor named as Battlemage. The MI300X has no production status listed and no successor. The predecessor for the MI300X is FirePro Data Center, while the A310E’s predecessor is Xe Graphics.

The Verdict

The data points to a simple conclusion: these GPUs are not substitutes. The AMD Radeon Instinct MI300X exists for high-throughput compute in data centers. Its 192 GB HBM3 memory, 10.3 TB/s bandwidth, and 81.72 TFLOPS FP32 performance place it in a category where the A310E cannot compete on any compute metric. The MI300X has no display outputs, no pixel rate, and no API support, which confirms it is not intended for graphics rendering. Anyone needing dense matrix operations, large model inference, or scientific computing would choose the MI300X based on the recorded specifications.

The Intel Arc A310E serves a different purpose. With 4 GB GDDR6, a 64-bit bus, and 124.0 GB/s bandwidth, it is a low-power embedded GPU. Its 75 W TDP and 250 W suggested PSU make it suitable for systems with tight power budgets. The single-slot form factor and 168 mm length allow installation in compact chassis. Four mini-DisplayPort 2.0 outputs provide multi-display capability, and the presence of 6 ray tracing cores plus DirectX 12 Ultimate support indicates a genuine graphics processor. The A310E is end-of-life, but its architecture remains functional for its intended niche.

The percentile ranking for both GPUs sits at 50, and both have an average benchmark score of 0, meaning the database has not yet recorded any performance measurements for either product. The nearest rivals lists are empty for both, so no comparative score deltas exist. The analysis therefore rests on the specification sheet, which shows a clear separation of roles. The MI300X is a compute accelerator with no graphics path. The A310E is a graphics card with limited compute capability. The choice depends entirely on whether the workload requires rendering output or raw mathematical throughput.

The MI300X’s 5 nm process and 153,000 million transistors indicate a design investment in maximum parallel throughput. The A310E’s 6 nm process and 7,200 million transistors reflect a cost-conscious, low-power design. The MI300X’s memory configuration, HBM3 on an 8192-bit bus, is typical of high-bandwidth compute accelerators. The A310E’s GDDR6 on a 64-bit bus is typical of entry-level graphics. The 10.3 TB/s versus 124.0 GB/s bandwidth gap is the single most decisive spec difference, as it determines how quickly data can feed the compute units.

FAQ

Q: Which GPU has higher FP32 compute performance?

A: The AMD Radeon Instinct MI300X delivers 81.72 TFLOPS, while the Intel Arc A310E delivers 3.072 TFLOPS. The MI300X is about 26.6x faster in FP32.

Q: What is the memory capacity difference between the two?

A: The MI300X has 192 GB of HBM3, while the A310E has 4 GB of GDDR6. The MI300X also uses an 8192-bit bus, versus the A310E’s 64-bit bus.

Q: Does the Intel Arc A310E support modern graphics APIs?

A: Yes. The A310E supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The MI300X lists no API support, as it has no display outputs.

Q: What is the power consumption of each card?

A: The MI300X has a TDP of 750 W and a suggested PSU of 1150 W. The A310E has a TDP of 75 W and a suggested PSU of 250 W.

Q: Can the MI300X output video to a display?

A: No. The MI300X has no display outputs and records a pixel rate of 0 MPixel/s. The A310E has four mini-DisplayPort 2.0 outputs and a pixel rate of 32.00 GPixel/s.

Q: What are the process nodes and transistor counts?

A: The MI300X uses a 5 nm TSMC process with 153,000 million transistors on a 1017 mm² die. The A310E uses a 6 nm TSMC process with 7,200 million transistors on a 157 mm² die.